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MetroSurv: detecting events in subway stations

  • Video surveillance has become a hot research topic due to the recently increased importance of safety and security issues. Usually, security personnel has to monitor a surveillance area and often they have to do this for 24 h a day. Thus, it would be desirable to develop intelligent surveillance systems that support this task automatically. The system described in this contribution is thought of such an automatic surveillance system that has been developed to detect several dangerous situations in subway stations. The workflow and the most important steps from foreground segmentation, shadow detection, tracking and classification to event detection are described, discussed and evaluated in detail. The developed surveillance system yields satisfying results, as dangerous situations that need to be recognized are detected in most cases.

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Metadaten
Document Type:Article
Language:English
Author:Barbara Krausz, Rainer Herpers
Parent Title (English):Multimedia Tools and Applications
Volume:50
Issue:1
First Page:123
Last Page:147
ISSN:1380-7501
DOI:https://doi.org/10.1007/s11042-009-0367-8
Publisher:Springer
Date of first publication:2009/09/18
Tag:Event detection; Expert system; Foreground segmentation; Shadow detection; Tracking; Video surveillance
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/04/02